Product of reflection matrices without eigenvalue 1

Click For Summary
SUMMARY

This discussion focuses on the conditions under which the product of a finite sequence of 4x4 orthogonal reflection matrices does not yield an eigenvalue of 1. It establishes that a product with an even and nonzero number of matrices results in a simple rotation if it has an eigenvalue of 1, while a "double" rotation will not. The conversation also explores the relationship between these reflections and quaternions, suggesting that the composition of at least three reflections in distinct hyperplanes leads to a simple rotation fixing a two-dimensional plane. Additionally, the need for accessible resources on Clifford algebras is highlighted for further understanding.

PREREQUISITES
  • Understanding of 4x4 orthogonal reflection matrices
  • Familiarity with eigenvalues and eigenvectors
  • Basic knowledge of quaternions and their properties
  • Introduction to Clifford algebras and their applications
NEXT STEPS
  • Research the properties of 4x4 orthogonal reflection matrices
  • Study eigenvalue analysis in linear transformations
  • Learn about quaternion algebra and its geometric interpretations
  • Find beginner-friendly resources on Clifford algebras
USEFUL FOR

This discussion is beneficial for mathematicians, physicists, and computer scientists interested in linear algebra, particularly those exploring the geometric implications of reflection matrices and their applications in higher-dimensional spaces.

zpconn
Messages
241
Reaction score
2
I'm wondering if anybody could suggest some techniques that might be brought to bear on the following problem:

Suppose a finite sequence [tex]M_1,M_2,\dots,M_k[/tex] of [tex]4\times 4[/tex] orthogonal reflection matrices is given. I'm interested in determining conditions on these matrices that will guarantee that the product of any ordered sub-collection having an even and nonzero number of elements does not have eigenvalue 1.

This is really the same as asking whether the result will be a simple or "double" rotation. If it's a simple rotation, the product will have an axis-plane that is fixed point-by-point and so will have eigenvalue 1. If it's a "double" rotation (two independent rotations in orthogonal 2-planes), then it will not have eigenvalue 1.

Or better yet: does anybody have any ideas for generating a list of matrices satisfying the specified property (besides just randomly generating matrices and testing all generated collections)?
 
Physics news on Phys.org
Actually, I now don't think any such lists of 4x4 matrices exist.

Claim: Given at least three reflections of [tex]R^4[/tex] in distinct hyperplanes through the origin, the composition of some two of them is a simple rotation fixing a two-dimensional plane through the origin(its axis).

Proof(?): Maybe there's a proof using matrices directly, but my method uses the following connection with quaternions: the reflection of [tex]R^4[/tex] in the homogenous hyperplane orthogonal to the unit quaternion [tex]u[/tex] is the map [tex]q \mapsto -qvq[/tex] where [tex]v[/tex] is the conjugate of [tex]u[/tex]. (I can't get the \overline command in LaTeX to work here for some reason, so I will write the conjugate of [tex]u_i[/tex] as [tex]v_i[/tex] from here on out.) Another nontrivial observation, which follows from the previous one, is that the orthogonal rotations of [tex]R^4[/tex] are precisely the quaternion maps [tex]q \mapsto aqb[/tex] for unit quaternions [tex]a,b[/tex].

Suppose three unit quaternions [tex]u_1,u_2,u_3[/tex] are given. The previous two observations imply [snip] that [tex]u_1 = u_2 = (v_1)^{-1}[/tex], and that's the end of the proof.

Now, my vague understanding is that in higher dimensions the quaternions are replaced by the so-called Clifford algebras. Most sources I've looked at for Clifford algebras are a little too advanced for me. Does anybody know of a good, easy introduction to Clifford algebras?
 

Similar threads

  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 24 ·
Replies
24
Views
71K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 7 ·
Replies
7
Views
8K
Replies
9
Views
2K
  • · Replies 4 ·
Replies
4
Views
6K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K